обновлено 2 дня назад
Data Operations Engineer (DataOps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Operations Engineer (DataOps): Supporting and modernizing data infrastructure to ensure platforms are performant, resilient, and secure with an accent on DataOps practices. Focus on optimizing Snowflake, Dagster, and Qlik platforms, managing AI workloads, and driving operational excellence across the data lifecycle.
Location: Sofia, Bulgaria
Company
is an industry-leading price-reporting agency (PRA) providing critical price data, news, and analytics for global commodity markets.
What you will do
- Support and modernize data infrastructure to ensure platforms are performant, resilient, and secure.
- Collaborate with Data, Engineering, and Cyber teams to align operational goals and challenge existing processes.
- Drive operational excellence across Snowflake, Dagster, and Qlik platforms.
- Manage and monitor data flows, including ingestion, transformation, storage, and serving.
- Develop automation scripts using Bash, Python, or PowerShell to optimize operational workflows.
Requirements
- Foundational understanding of data movement, including pipelines, ingestion, and transformation.
- Experience with cloud platforms (Azure, AWS, or GCP) in an operational context (deploying and monitoring).
- Proficiency in scripting for automation via Bash, Python, or PowerShell.
- Understanding of monitoring and observability concepts for data platforms.
- Strong collaboration skills to work effectively across multiple time zones.
Nice to have
- Experience operating big data platforms like Spark, Kafka, Databricks, or Hadoop.
- Working knowledge of Snowflake or comparable cloud data warehouses.
- Familiarity with orchestration tools such as Dagster or Airflow.
- Experience with Docker, Kubernetes, Terraform, and CI/CD pipelines.
- Understanding of RBAC and identity management (Azure Active Directory).
Culture & Benefits
- Inclusive and respectful workplace committed to equality and diversity.
- Collaborative environment with a strong emphasis on a growth mindset and accountability.
- Opportunity to work as part of a worldwide team across various global locations.
- Culture driven by metrics, customer-centricity, and professional agility.
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